From functions and state machines to data science and machine learning. See at aa.ssis.edu.vn

In our first unit we learn the basics of defining and calling functions, providing input parameters and return output values. And we define and describe the algorithms to solve our problems. Rearranging program code to become modular makes it easier to reuse code and reduce errors.

1. Welcome to Advanced Automation
2. Introduction to Functions
3. Shock Detector Case Study
4. Mastery Check - Sketch of Functions
5. Making Code Modular
6. Module Maker - Creating modular code yourself!
7. Drink Machine Part I
8. Drink Machine Part II
9. Drink Machine Testing Software

1. Convert a binary string into a readable ASCII text to learn more about abstraction and decomposition.
2. Binary Secret Code - Introduction to Abstraction
3. Three Boards, Three Flavors
4. Introduction to State Machine Programming - Escape to Summer Case Study
5. Drink Dispenser State Machine
6. Building a Physical Drink Dispenser State Machine
7. Iterative Design
8. Choosing your system
9. Students State Program - Description
10. Inputs, Outputs, Hardware
11. Levels of Abstraction
12. The Crane Game - Example for Abstraction

1. Create some generative art!
2. Generative Art and the Circle K Project
3. Design Project
4. Branches, Forks, and Pull Requests
5. Circular Art
6. Idea Sharing for the Generative Art Project
7. Project Check-In
8. Design Project Submission
9. Singular Collaborative Art Project

1. Introduction Control Systems Board
2. Carrier board rp2040 - physical and electrical connection
3. The I2C Bus
4. Activate the OLED display
5. Control Algorithms
6. Digital states and Pulldown Resistors
7. Feedback Control Systems
8. The PID controller
9. VEX VR Control Systems Task
10. Water Flow Controller and Landing a Rocket
11. APIs and Libraries
12. Sphero RVR API - see more at rvr2023
13. Control Challenge 2022-2023
14. Documentation on Design Decisions
15. On the Field: Control Systems and API Challenge

1. Sketch Classifier
2. Improving the Classifier
3. Self Driving Car Activity
4. Iterative Design
5. Evaluating Algorithms and Standards
6. Machine Learning Project - Objective and Dataset
7. Machine Learning Project - Algorithm and Training Data
8. Machine Learning Project - Training the Model
9. Documenting Iterations
10. Saving the Dataset and Model
11. JSON data exchange
12. Presentation of final version as a website

1. Interpreting graphs and analyze csv files
2. Processing large csv files
3. Determining Pulse Width
4. Morse code challenge
5. Sensor Calibration, Smoothing, Rate of Change